Zixi Chen

This paper introduces a wearable sensor that monitors gaseous flux from wounds to detect infections and track healing, showing VOC flux correlates with bacterial growth and provides early infection detection.

This study uses molecular dynamics simulations to analyze how key mutations in SARS-CoV-2 spike protein affect its structure and stability, finding that some mutations enhance stability while others increase solvent accessibility.

AutoVEM2 is a flexible automated tool for analyzing candidate key mutations and epidemic trends in viruses, demonstrating its effectiveness with SARS-CoV-2, HBV, and HPV-16.

The paper analyzes the evolution and molecular characteristics of over 16,000 SARS-CoV-2 genomes to reveal its epidemic trend and possible origins.

The paper analyzes gene correlations between metabolism and immunity in tumor and normal tissues, finding reduced correlations in tumors and identifying key gene pairs with potential therapeutic implications.

This study uses single-cell transcriptomics to analyze gene expression changes in trisomy 18 samples, identifying altered cell groups and new critical regions associated with the syndrome.